Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare this is a non-read-only, non-destructive, non-idempotent write, so the safety profile is covered. The description adds that the stored payload is a judged text plus its rationale, which tells the agent what kind of content is persisted. It does not explain what happens when the same example is added twice (relevant given idempotentHint=false) or what the call returns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single well-formed sentence with no filler, and the essential content (what is saved and with what) is front-loaded. It is efficient, though it could carry one more clause of routing or behavioral detail without becoming bloated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a four-parameter write tool with no output schema and no annotations about persistence, the description covers the intent but not the outcome. An agent still does not know whether the call echoes the stored example, validates the project against list_projects, or errors on bad input. Adequate but with clear gaps for a mutation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50%: why and project are documented in the schema, while text and verdict are bare. The description does compensate partially by framing text as 'un texto que el usuario aprobó o tumbó' and implicitly mapping that to the aprobado/rechazado enum. It adds meaning beyond the schema but not a full explanation of how text should be scoped or sized.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a concrete verb and resource: it stores a text the user approved or rejected for a project's brand, together with the reasoning. That is specific enough to separate it from generic siblings like add_learning or add_gotcha, though it never names those siblings explicitly. It falls short of a 5 only because the differentiation from set_brand is left implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The trigger condition is implied rather than stated: save when the user has already approved or rejected a piece of text for the brand. There is no explicit 'use this instead of X' routing to add_learning, set_brand, or save_format, and no note about when not to call it. The agent can infer the situation, but must do the inference itself.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.